# Deepseek Coder v2 vs Llama 2-7B

> Deepseek Coder v2 is the stronger model overall, scoring 35.9 to 29.1 on the Noometry Index.

- Canonical page: https://noometry.com/compare/deepseek-coder-v2-vs-llama-2-7b
- Last updated: 2026-10-11
- Shared benchmarks: 18

## Summary

- They share 18 benchmarks with published results for both. Deepseek Coder v2 scores higher in 8 categories and Llama 2-7B in 0 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in multilingual, where Deepseek Coder v2 leads 36.3 to 23.8.

## Snapshot

| | Deepseek Coder v2 | Llama 2-7B |
|---|---|---|
| Provider | DeepSeek | Meta |
| Noometry Index | 35.9 | 29.1 |
| Rank | 220 | 317 |
| Context | — | — |
| Input $/M | — | — |
| Output $/M | — | — |
| Weights | Open | Open |

## Coding

- Deepseek Coder v2: 38.1 (#183)
- Llama 2-7B: 29.2 (#307)

| Benchmark | Deepseek Coder v2 | Llama 2-7B |
|---|---|---|
| LMArena Coding | 1251 | 1002 |
| BigCodeBench Instruct | 48.2% | — |
| BigCodeBench Complete | 59.7% | — |
| HumanEval+ | 82.3% | — |
| MBPP+ | 75.1% | — |

## Reasoning

- Deepseek Coder v2: 23.6 (#176)
- Llama 2-7B: 15.7 (#312)

| Benchmark | Deepseek Coder v2 | Llama 2-7B |
|---|---|---|
| LMArena Hard Prompts | 1207 | 1009 |
| WinoGrande | 83.7% | 69.2% |
| Chess Puzzles | — | 0% |
| BIG-Bench Hard | — | 39.2% |
| Epoch Capabilities Index | — | 99.06 |
| HellaSwag | — | 77.2% |
| LAMBADA | — | 73.3% |
| PIQA | — | 78.8% |

## Math

- Deepseek Coder v2: 34.9 (#190)
- Llama 2-7B: 30.7 (#233)

| Benchmark | Deepseek Coder v2 | Llama 2-7B |
|---|---|---|
| LMArena Math | 1241 | 1042 |
| GSM8K | 94.5% | 16.7% |

## Knowledge

- Deepseek Coder v2: 32.3 (#212)
- Llama 2-7B: 28.2 (#248)

| Benchmark | Deepseek Coder v2 | Llama 2-7B |
|---|---|---|
| LMArena Expert | 1181 | 1036 |
| ARC (AI2) Challenge | 64.3% | 45.9% |
| BoolQ | — | 77.9% |
| MMLU | — | 45.8% |
| OpenBookQA | — | 58.6% |
| TriviaQA | — | 73.7% |

## Multimodal

- Deepseek Coder v2: —
- Llama 2-7B: —

| Benchmark | Deepseek Coder v2 | Llama 2-7B |
|---|---|---|
| ScienceQA | — | 43.1% |

## Multilingual

- Deepseek Coder v2: 36.3 (#240)
- Llama 2-7B: 23.8 (#293)

| Benchmark | Deepseek Coder v2 | Llama 2-7B |
|---|---|---|
| LMArena Non-English | 1182 | 973 |
| LMArena Chinese | 1201 | 973 |
| LMArena French | 1185 | 970 |
| LMArena German | 1164 | 978 |
| LMArena Russian | 1188 | 995 |
| LMArena Spanish | 1153 | 1007 |
| LMArena Japanese | 1126 | — |
| LMArena Korean | 1104 | — |

## Instruction Following

- Deepseek Coder v2: 61.7 (#242)
- Llama 2-7B: 50.8 (#298)

| Benchmark | Deepseek Coder v2 | Llama 2-7B |
|---|---|---|
| LMArena Instruction Following | 1180 | 1006 |

## Long Context

- Deepseek Coder v2: 37.0 (#224)
- Llama 2-7B: 30.4 (#287)

| Benchmark | Deepseek Coder v2 | Llama 2-7B |
|---|---|---|
| LMArena Longer Query | 1219 | 999 |

## Writing & Preference

- Deepseek Coder v2: 38.2 (#253)
- Llama 2-7B: 28.0 (#298)

| Benchmark | Deepseek Coder v2 | Llama 2-7B |
|---|---|---|
| LMArena Text | 1191 | 1053 |
| LMArena Creative Writing | 1120 | 1033 |
| LMArena Multi-Turn | 1177 | 1029 |

## FAQ

### Is Deepseek Coder v2 better than Llama 2-7B?

Deepseek Coder v2 is the stronger model overall, scoring 35.9 to 29.1 on the Noometry Index.

### Is Deepseek Coder v2 or Llama 2-7B better for coding?

Deepseek Coder v2 scores higher on coding benchmarks: 38.1 versus 29.2 in the Noometry coding category.

### How many benchmarks do Deepseek Coder v2 and Llama 2-7B share?

18 benchmarks have published results for both models. Deepseek Coder v2 has 24 scored results on Noometry and Llama 2-7B has 29.